The Lean Six Sigma Black Belt Certification Training Upgrade from Green Belt Course is for Green Belt certification holders who want to elevate their knowledge and skills in preparation for the Black Belt certification exam. This course is recommended for team leaders, managers and administrators of Lean Six Sigma organizations.

After completing this course based on IASSC authorized training materials, you will have learned: the concepts and implementation of Lean Six Sigma, how to determine process capability, identify the root cause of errors, create a process map, control processes, productivity and waste and much more.

Course Outline

Foreword:

The PD Training/IASSC authorized training materials are much more than simple "tools training". This curriculum is formatted in such a way that the problem solving strategy is demonstrated throughout the course. By utilizing various Statistical and Business Improvement tools, you will be able to clearly see and communicate the flow and process of the methodology in order to instill both the tactical and strategic aspects of the LSS Black Belt skill set.

The implementation roadmaps within each phase provide you with a clear line-of-sight for putting into practice the problem solving technology. Various group exercises, utilizing training aids, pre-formatted data sets and templates, facilitate interactive group learning within the course.

These IASSC authorized training materials are the industry standard used by thousands of industry trainers, coaches and mentors to train Lean Six Sigma Black Belts around the world.

Quick Review/Refresher (Define Phase)

Quick Review/Refresher (Measure Phase)

"X" Sifting (Analyse Phase Module 1)

LSS Black Belt Analyse Phase - The Analyse Phase of the DMAIC methodology is constructed to introduce important Six Sigma tools for isolating critical factors.

Perform a Multi-Vari Analysis

Interpret and a Multi-Vari Graph

Identify when a Multi-Vari Analysis is applicable

Interpret what Skewed data looks like

Explain how data distributions become Non-normal when they are really Normal

Inferential Statistics (Analyse Phase Module 2)

Explain the meaning of the term "Inferential Statistics".

Describe the basic tenets of the Central Limit Theorem.

Describe the impact of sample size on your estimates of population parameters.

Explain Standard Error

Intro to Hypothesis Testing (Analyse Phase Module 3)

Articulate the purpose of Hypothesis Testing

Explain the concepts of the Central Tendency

Be familiar with the types of Hypothesis Tests

Hypothesis Testing Normal Data Part 1 (Analyse Phase Module 4)

Determine appropriate sample sizes for testing Means

Conduct various Hypothesis Tests for Means

Properly Analyse Results

Hypothesis Testing Normal Data Part 2 (Analyse Phase Module 5)

Be able to conduct Hypothesis Testing of Variances

Understand how to Analyse Hypothesis Testing Results

Hypothesis Testing Non-Normal Data Part 1 (Analyse Phase Module 6)

Conduct Hypothesis Testing for equal variance

Conduct Hypothesis Testing for Medians

Analyse and interpret the results

Hypothesis Testing Non-Normal Data Part 2 (Analyse Phase Module 7)

Calculate and explain test for proportions

Calculate and explain contingency tests

Wrap Up & Action Items (Analyse Phase)

Process Modeling Regression (Improve Phase Module 1)

LSS Black Belt Improve Phase - The Improve Phase of the DMAIC methodology is constructed to introduce important Lean Six Sigma tools for properly controlling solutions.

Perform the steps in a Correlation and a Regression Analysis

Explain when Correlation and Regression is appropriate

Advanced Process Modeling (Improve Phase Module 2)

Perform Non-Linear Regression Analysis

Perform Multiple Linear Regression Analysis

Determine the reason for experimenting

Describe the difference between a physical model and a DOE model

Explain an OFAT experiment and its primary weakness

Shown Main Effects Plots and interactions, determine which effects and interactions may be significant

Create a Full Factorial Design

Experimental Methods (Improve Phase Module 3)

Be able to Design, Conduct and Analyse an Experiment

Full Factorial Experiments (Improve Phase Module 4)

Understand how to Create Balanced & Orthogonal Designs

Explain how Fit & Diagnose & Center Points factors into an experiment

Fractional Factorial Experiments (Improve Phase Module 5)

Explain why & how to use a Fractional Factorial Design

Create a proper Fractional Factorial Design

Analyse a proper model with aliased interactions

Wrap Up & Action Items (Improve Phase)

Advanced Experiments (Control Phase Module 1)

LSS Black Belt Control Phase - The Control Phase of the DMAIC methodology is constructed to introduce important Lean Six Sigma tools for properly controlling solutions.

Use the results of a DOE to determine how to further optimise a process using the steepest ascent/descent method

Capability Analysis (Control Phase Module 2)

Understand the importance of Capability Analysis as it is applied in the Control Phase

Select the appropriate method for Capability Analysis based on the type of data distribution of your process

Interpret the output of MINITABTM’s Capability functions

Understand how the use for Capability Analysis may alter through the DMAIC phases

Lean Controls (Control Phase Module 3)

Describe Lean tools

Understand how these tools can help with project sustainability

Understand how the Lean tools depends on each other

Understand how tools must document the defect prevention created in the Control Phase

Defect Controls (Control Phase Module 4)

Describe some methods of defect prevention

Understand how these techniques can help with project sustainability

Including reducing those outliers as seen in the Advanced Process Capability section

If the vital X was identified, prevent the cause of defective Y

Understand what tools must document the defect prevention created in the Control Phase

Statistical Process Control - SPC (Control Phase Module 5)

Describe the elements of an SPC Chart and the purposes of SPC

Understand how SPC ranks in defect prevention

Describe the 9 Step route or methodology of implementing a chart

Design subgroups if needed for SPC usage

Determine the frequency of sampling

Understand the Control Chart selection methodology

Be familiar with Control Chart parameter calculations such as UCL, LCL and the Center Line

Conferences

Choose the -Training Location

Managers prefer -PD Training because:

They see immediate impact back at work

The course is tailored to their goals - and the needs of the participants.
The trainer consults with the manager before each class, and tailors the course based on the goals of the manager AND the participants.

Great feedback!

They get great feedback, and their staff get skills they can use right away.

The training is full of activities to make the day fun, and reinforce the concepts. People learn more and give great feedback.

A fresh and effective training experience

Orgmenta experience is not only 'cool' it is a richer learning experience. Orgmenta gives training initiatives 'a buzz' and achieves better outcomes.
We use tablets in class - BYOD or we can provide them at 50% off recommended retail

Reinforcement

The training tends to 'stick' because of the wide variety of reinforcement and support options available on-demand through PC's and mobile devices.

Training Management App

Costing, planning, administering and reporting on training is easier and faster than ever before.
The Training Management Centre takes training administration to the cloud, and improves reporting and transparency like never before.
Accessible from Windows, iOS and Android devices.